![Prof. Dr. Frederick Klauschen](https://bifold.berlin/fileadmin/_processed_/e/9/csm_Frederick-Klauschen-450x450_794e6b94cd.webp)
Prof. Dr. Frederick Klauschen
Research Group Lead / Charité / Fellow
Fellow | BIFOLD
Director | Pathologisches Institut, Ludwig-Maximilian-Universität München
Professor, Senior Consultant Pathologist and Associate Director | Charité Universitätsmedizin Berlin, Institute of Pathology
2012 | Novartis Pathology-Oncology Award |
2011 | Human Frontier Science Program Young Investigator Award |
2004 | NIH Postdoctoral Fellowship Award |
Systems biological integration of proteogenomic profiles and histological images through bioinformatics and machine learning with the goal to better understand and predict pathological mechanisms in tumors and finally, to better diagnose and treat cancer.
- German Pathological Society
- International Academy of Pathology
- German Physical Society
Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Jörg Kumbrink, Melanie-Christin Demes, Jan Jeroch, Andreas Bräuninger, Kristin Hartung, Uwe Gerstenmaier, Ralf Marienfeld, Axel Hillmer, Nadine Bohn, Christina Lehning, Ferdinand Ferch, Peter Wild, Stefan Gattenlöhner, Peter Möller, Frederick Klauschen, Andreas Jung
Development, testing and validation of a targeted NGS-panel for the detection of actionable mutations in lung cancer (NSCLC) using anchored multiplex PCR technology in a multicentric setting
Simon Schallenberg, Gabriel Dernbach, Sharon Ruane, Cornelius Böhm, Lukas Ruff, Kai Standvoss, Sandip Ghosh, Marco Frentsch, Mihnea Dragomir, Rebecca Fritz, Ines Koch, Corinna Friedrich, Il-Kang Na, Sabine Merkelbach-Bruse, Alexander Quaas, Nikolaj Frost, Kyrill Boschung, Winfried Randerath, Georg Schlachtenberger, Matthias Heldwein, Ulrich Keilholz, Khosro Hekmat, Jens Rückert; Reinhard Büttner, Angela Vasaturo, David Horst, Maximilian Alber, Frederick Klauschen
AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients
Marlies Michl, Francesco Taverna, Christine Woischke, Pan Li, Frederick Klauschen, Thomas Kirchner, Volker Heinemann, Michael von Bergwelt-Baildon, Arndt Stahler, Tobias Marcus Herold, Vindi Jurinovic, Jutta Engel, Jörg Kumbrink & Jens Neumann
Identification of a gene expression signature associated with brain metastasis in colorectal cancer
![News](https://bifold.berlin/fileadmin/user_upload/Nasenkrebs_Jurmeister_et_al_3.png)
AI facilitates breakthrough in cancer diagnostics
So-called sinonasal undifferentiated carcinomas (SNUCs) are extremely difficult to diagnose. An interdisciplinary team of researchers has developed an AI tool that reliably distinguishes tumors on the basis of chemical DNA modifications
An overview of the current state of research in BIFOLD
Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.